About the Role
Join an early-stage AI infrastructure team building a query engine that connects graph-native queries with enterprise data. You will develop the coordinator, compiler, and executor components that enable reliable reasoning and aggregation across multiple data sources.
What You'll Do
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Design and extend compiler and executor components to support new query language features and functions.
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Build and optimize graph-native query capabilities across multiple data sources.
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Develop pass-through query logic for platforms such as Snowflake, Databricks, and Oracle.
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Work with the platform team to improve performance, reliability, and scalability.
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Debug and resolve complex query execution issues in production environments.
What We're Looking For
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At least 5 years of experience in data infrastructure, query engine development, distributed systems, or database query processing.
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Experience building or maintaining query compilers, optimizers, or execution engines.
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Background with graph databases or graph query languages.
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Experience shipping distributed query processing across multiple data sources, including federated execution across heterogeneous systems.
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Proficiency in C++, Rust, or Java, with knowledge of SQL, query optimization, or compiler design.
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Experience optimizing query performance in high-volume or latency-sensitive environments, and familiarity with Snowflake, Databricks, or Oracle.
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Knowledge of semantic layers, knowledge graphs, or complex enterprise data environments is beneficial.
Compensation & Benefits
Visa sponsorship is available.
Location
On-site in San Mateo, United States.
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